274 results about "Amplitude distribution" patented technology

The invention provides an optical image encryption method and system based on a partially coherent non-diffracting light beam, and belongs to the technical field of optical encryption and information transmission. Encoding to-be-encrypted image information into the light field cross-spectral density function; the method specifically comprises the following steps: discretizing an image as an expansion coefficient of a power spectral density function at a light source under a pseudo-mode substrate, and constructing a cross spectral density function; a complex amplitude modulation algorithm is adopted to convert light field complex amplitude distribution into a pure phase hologram, the pure phase hologram is loaded to a spatial light modulator, a multi-mode incoherent superposition partially coherent non-diffraction light beam is generated, and the multi-mode incoherent superposition partially coherent non-diffraction light beam interferes with a reference light beam to obtain a light field image; performing coordinate transformation and frequency domain filtering on the light field image to extract a complex coherence degree function; and reconstructing and restoring the original image information in combination with a preset key and a digital inversion algorithm. According to the method, the light beams are constructed based on pseudo-mode superposition, image hidden coding, transmission and decryption are realized by utilizing the characteristics of partially coherent light and non-diffraction light beams, and the method is suitable for optical communication and security information transmission.

The invention discloses a motor rotating speed measuring method, system and equipment based on electromagnetic induction, and belongs to the field of motors. According to the embodiment of the invention, firstly, a magnetostriction resonance signal and an electromagnetic induction signal of a motor rotating shaft are obtained; performing frequency domain conversion on the magnetostrictive resonance signal to obtain magnetostrictive resonance frequency domain characteristics; performing frequency domain conversion on the electromagnetic induction signal to obtain electromagnetic induction frequency domain characteristics; frequency domain energy spectrum fusion reconstruction is carried out on the magnetostriction frequency domain characteristics and the electromagnetic induction frequency domain characteristics based on the frequency band matching relation between the magnetostriction frequency domain characteristics and the electromagnetic induction frequency domain characteristics, and a dual-frequency coupling energy spectrum is generated; and finally, determining the rotating speed of the motor rotating shaft according to the frequency position and amplitude distribution of the energy peak in the dual-frequency coupling energy spectrum, thereby improving the measurement precision of the rotating speed of the motor in a complex environment.

The invention relates to the technical field of industrial equipment management, in particular to an intelligent power equipment inspection system based on artificial intelligence, which comprises a fault mode generation module, a fault detection module, a fault classification module, an inspection feature optimization module and an anomaly prediction and evaluation module. According to the method, the comprehensiveness of equipment state sensing is optimized by collecting the multi-dimensional operation parameters of the power equipment and analyzing the signal amplitude distribution and frequency domain change, the potential fault features are accurately recognized by combining the dynamic feature range and the signal distribution deviation matching, the signal anomaly detection accuracy is improved, and the fault detection accuracy is improved. The method comprises the following steps: extracting differentiated characteristic values of current and temperature signals, optimizing fault type classification, improving the positioning capability of a problem root, dynamically extracting and matching a signal trend, generating an inspection parameter matrix, realizing global dynamic monitoring of an operation state, and predicting a model based on a signal change rate and a time node range. The real-time performance and precision of abnormal trend prediction are improved, and the reliability of equipment operation and maintenance is enhanced.

The invention provides a high-frequency welded pipe roller wear state monitoring method and device, and relates to the technical field of artificial intelligence and data processing, a holographic sensing system of working condition parameters and physical signals is constructed through synchronous monitoring of a multi-source sensor, and noise spectrum offset is tracked in real time based on time-frequency expression of data in different modes, so that the real-time monitoring of the wear state of a high-frequency welded pipe roller is realized. And an anti-error filtering protection channel is constructed, so that the inherent characteristics of the damage can be effectively captured. In addition, multi-physical field damage characterization information is fused from multiple complementary dimensions of transient impact (instantaneous frequency vector), spectrum complexity (spectral entropy) and amplitude distribution deflection (skewness), more comprehensive and richer state description can be provided, accurate quantitative evaluation of the roller wear level is achieved, and the capacity of real-time monitoring and accurate recognition of the roller wear state is remarkably improved.

This disclosure provides methods, devices and systems for encoding data for wireless communication to achieve an amplitude distribution. One implementation includes a method in which probabilistic amplitude shaping is constrained by an energy value and a sequence composition. The implementation may include three phases. In a first phase, the energy value is determined. In a second phase, the sequence composition is determined. In a third phase, the output sequence is determined as constrained by the sequence composition. The methods generate output sequences defining amplitude symbols that are used to encode data for transmission.

The invention relates to the technical field of power equipment monitoring and noise suppression, in particular to a method for removing partial discharge pulse interference noise based on density clustering, and the method comprises the following steps: S1, collecting a noisy discharge signal, and carrying out the preprocessing of the noisy signal; phase-amplitude characteristics of the noisy signals are extracted, and a phase-amplitude distribution spectrogram is formed; s2, performing primary density clustering analysis on data points in the phase-amplitude distribution spectrogram to obtain a preliminary noise point set; s3, performing secondary density clustering analysis on the initial noise point set to obtain a final noise point set; and S4, performing denoising processing on the noisy discharge signal according to the final noise point set, and performing reverse normalization and reconstruction to obtain a denoised effective discharge signal. According to the technical scheme, the noise in the partial discharge signal can be efficiently and accurately recognized and removed, and the error caused by the fact that a threshold value is manually set in a traditional method is avoided.

A TinyMaix-based switch cabinet partial discharge detection and identification algorithm comprises the following steps: designing four typical insulation defect models, and respectively simulating corona discharge, suspension discharge, surface discharge and internal discharge; 200 samples are collected for each insulation defect, a sample set of 800 samples is formed in total, and a phase-resolved partial discharge (PRPD) graph is constructed according to a phase value in combination with a power frequency synchronization signal; the method comprises the following steps: dividing a power frequency sine wave into 360 phase windows, calculating a discharge frequency and a discharge amplitude average value in each phase window, constructing pulse counting distribution # imgabs0 # and average pulse amplitude distribution # imgabs1 #, extracting a probability pwin, a mean value mu and a variance sigma, and further calculating 19 statistical characteristics such as skewness Sk; a mean square error is selected as a loss function in each iteration of model solution, model parameters are updated according to the gradient of the loss function, and model convergence is accelerated; and inputting a partial discharge signal to be detected into the trained model, and outputting a classification result of the signal by the model to realize identification and classification of the partial discharge signal.

The invention discloses a cooperative control method and system for noise reduction and fire prevention of a transformer substation. The method comprises the following steps: determining the acoustic impedance mutation degree of an original composite board according to the frequency and amplitude distribution of target low-frequency noise of the transformer substation; when the acoustic impedance abrupt change degree exceeds an abrupt change threshold value, optimizing a first physical parameter of the original composite board; the heat flow density of the first composite board obtained through optimization is obtained, and if the heat flow density exceeds a fireproof threshold value, a second physical parameter of the first composite board is optimized; obtaining a noise penetration index of the target low-frequency-band noise in the second composite board obtained through optimization, and if the noise penetration index does not exceed a penetration threshold value, optimizing a third physical parameter of the second composite board; and determining final physical parameters corresponding to the acoustic-thermal performance balance point according to the acoustic impedance distribution and the thermal conductivity distribution of the third composite board obtained through optimization so as to adjust the structure of the third composite board. According to the invention, collaborative optimization of sound absorption frequency band characteristics and fireproof performance can be realized, and both noise reduction and fire prevention can reach an ideal state at the same time.

The present invention relates to the technical field of industrial equipment management, specifically an intelligent power equipment inspection system based on artificial intelligence. The system includes: a fault mode generation module, a fault detection module, a fault classification module, an inspection feature optimization module, and an abnormal prediction and evaluation module. In the present invention, by collecting multi-dimensional operating parameters of power equipment, analyzing the signal amplitude distribution and frequency domain changes, the comprehensiveness of equipment status perception is optimized. Combining the dynamic feature range and signal distribution deviation matching, potential fault features are accurately identified, and the accuracy of signal anomaly detection is improved. By extracting the differential characteristic values of current and temperature signals, the fault type classification is optimized, and the positioning ability of the problem root cause is enhanced. Dynamically extracting and matching signal trends, generating an inspection parameter matrix, and realizing global dynamic monitoring of the operating state. Based on the prediction model of signal change rate and time node range, the real-time performance and accuracy of abnormal trend prediction are improved, and the reliability of equipment operation and maintenance is enhanced.

The invention relates to the technical field of smart power grids, and provides a multi-field coupling-based overhead conductor vibration test method, which comprises the following steps of: constructing a multi-field coupling test environment, and loading an overhead conductor into the constructed multi-field coupling test environment; applying a multidirectional vibration load to the overhead conductor, and collecting vibration response data of the overhead conductor in real time; and calculating an equivalent stress field and equivalent stress amplitude distribution according to the vibration response data acquired in real time, and evaluating the damage state and residual life of each position of the overhead conductor. According to the overhead conductor vibration test method based on multi-field coupling, complex working conditions can be truly simulated, the test accuracy is improved, high-precision multidirectional vibration load loading is realized, high-resolution data acquisition and synchronization are realized, and the damage state and the residual life are accurately evaluated.

The invention discloses a large-scale antenna for RFID (Radio Frequency Identification) tag inventory, which relates to the technical field of wireless communication, extracts channel state information by using a communication link, extracts main characteristics from a sparse channel through a compressed sensing technology, constructs a channel model, effectively captures a signal path, a multi-path attenuation characteristic and noise intensity, and improves the performance of the antenna in a dynamic environment. According to the signal strength and return delay of the tag, dynamically dividing the inventory area, and adjusting the phase and amplitude distribution of the antenna array through real-time feedback, so that the beam coverage is matched with the channel characteristics, and the signal focusing capability of the target area is enhanced; a recurrent neural network (RNN) is introduced to analyze CSI information and feedback signals, multi-path interference and effective signals are separated by learning time sequence features, independent responses of tags are extracted, and the influence of reflected signal interference on tag identification is reduced; the identification success rate of the weak signal label is improved by preferentially processing the label with the weak signal or the shielded label and combining a dynamic recording and alarming mechanism.

The invention provides a carrier modulation method and modulation-demodulation system for an MMC circulation suppressor, and the method comprises the following steps: obtaining MMC operation log data, carrying out the spectrum analysis, and extracting the spectrum amplitude distribution characteristics; identifying a bridge arm circulation condition based on the amplitude distribution characteristics, and further detecting bridge arm load abnormity and unit energy abnormity conditions; identifying a circulating current frequency component according to an energy abnormal condition, performing electric energy quality attenuation detection and initial circulating current position tracing, and determining a circulating current generation mechanism; and finally, based on the risk assessment result and the generation mechanism data, constructing a modulation parameter, and generating an adaptive circulation suppressor carrier modulation strategy. Compared with the prior art, the method has the following beneficial effects: through modulation of the circulating current suppressor, modulation of the circulating current suppressor is more accurate, so that the problems of inaccurate analysis of a bridge arm circulating current generation mechanism and inaccurate analysis of an energy abnormal condition of the MMC unit existing in carrier modulation of a traditional circulating current suppressor are solved.

The invention relates to the technical field of welding seam defect detection, and discloses a welding seam defect detection method, device and equipment based on three-dimensional holographic scanning. Coherent light is used for irradiating a welding seam to be detected, a reference state hologram sequence and a loading state hologram sequence are generated, a phase difference field is calculated, and the deformation gradient is analyzed; marking a first abnormal region and extracting a deformation concentration ratio and a spatial distribution mode, calculating a dominant spatial frequency through space-frequency domain joint analysis, fusing abnormal features, marking a second abnormal region and extracting amplitude distribution and spatial continuity parameters, and performing defect characterization analysis by combining information of the first and second abnormal regions to obtain weld defect detection information. The method has the advantages of high precision, non-contact and real-time monitoring, the accuracy and efficiency of weld defect detection can be effectively improved, and the problem that weld detection is not accurate enough in the prior art is solved.

The invention relates to the technical field of automatic control, in particular to an automatic control method and system for an electrical system component, and the method comprises the steps: obtaining PID control data and a flow monitoring signal; determining a time delay value between the flow monitoring signals according to the correlation between the two flow monitoring signals; a signal fluctuation factor is determined according to the amplitude distribution of a flow monitoring signal of a monitoring point in a short-time window and the amplitude distribution of a flow monitoring signal of a next monitoring point after time delay in the short-time window, and the interference probability is determined by combining the amplitude difference and phase difference of the flow monitoring signals contained in all the short-time windows in a frequency domain. Screening out interference frequency; obtaining a nonlinear error probability according to the distribution of all interference frequencies; and adjusting the proportional gain in the PID control data according to the nonlinear error probability to complete the automatic control of the adjusting type electric valve. The control precision of the adjusting type electric valve during automatic control is improved by supplementing non-linear errors.

The invention belongs to the technical field of sound tweezers, and particularly relates to a particle customization control method based on sound radiation force and torque, and the method comprises the steps: building a needed sound source array, evaluating the stress and torque of a to-be-controlled particle in a sound field, repeatedly adjusting and optimizing the phase and amplitude distribution in an array unit, and obtaining an optimal sound field configuration condition. In this way, the required optimal sound field environment can be determined in advance, so that the optimal control effect on the particles is achieved, and the suspension height and the rotation speed of the particles are accurately controlled. According to the method, particle behaviors can be more accurately regulated and controlled, the control precision is remarkably improved, the adaptability is enhanced, more complex control scenes and particle types can be coped with, and the method is particularly suitable for the situation that customized control particles are needed.

The invention relates to the technical field of automobile electronic mechanical braking system control, in particular to an electronic mechanical braking system motor control method based on error compensation, which comprises the following steps of: analyzing the difference of each kind of motor data between all adjacent moments within a preset duration before each moment and the amplitude distribution of each kind of motor data in a frequency domain; determining the disturbed degree; determining a coupling correlation index by analyzing the correlation of the disturbances between each type of motor data and all other types of motor data within the preset duration and the interdependence relationship between each type of motor data and all other types of motor data; and the current of the automobile motor at the current moment is controlled. The problem of distortion caused by noise and non-linear interference of a single data source in an electronic mechanical braking system is solved, control deviation and errors caused by multi-physical field coupling are solved, and the accuracy and reliability of motor control are improved.

The invention discloses an optical flux-inductance-energy integrated system and a transmitted waveform design method, and the method comprises the steps: carrying out the MLS modulation and OFDM modulation of an input original signal, obtaining an MLS waveform and an OFDM waveform, carrying out the amplitude distribution of the two waveforms, and combining the two waveforms according to a time sequence to form an MLS-OFDM AC signal; after the alternating current signal is subjected to digital-to-analog conversion, outputting the alternating current signal according to a set driving peak-to-peak value voltage, superposing a direct current component in the alternating current signal so as to carry out alternating current and direct current amplitude distribution, and outputting an analog electric signal; the transmitter converts analog electric signals into optical signals, and the optical signals are simultaneously connected with the information decoding module, the sensing processing module and the energy collecting module. According to the hybrid MLS-OFDM waveform design scheme combining alternating-current amplitude distribution and alternating-current and direct-current amplitude distribution, flexible balance among communication, perception and energy collection performance in an optical flux-inductance-energy integrated system is achieved, the complexity of the system can be reduced, and the system is made to be lighter and more compact.

The invention discloses an ultrasonic testing device and method for the elastic constant Cij and crystal orientation of a single crystal material or workpiece. A special water immersion ultrasonic testing system used in the ultrasonic testing device comprises a manipulator, a water tank, a probe frame, a sample table and a probe, wherein the probe frame is connected with the tail end clamping device of the manipulator or the probe frame is the tail end clamping device of the manipulator; the sample table for placing a to-be-tested sample is positioned in the water tank; the probe is arranged on the probe frame; three-dimensional ultrasonic signals of various wave modes are excited in a workpiece, scanning signals of the three-dimensional ultrasonic signals are received, an omnidirectional sound time amplitude distribution image under polar coordinates is constructed according to the scanning signals, an ultrasonic anisotropic propagation actual sound field image is obtained, and ultrasonic sound velocities in all directions of a single crystal material are obtained through morphological methods such as image processing. And dual measurement of the elastic constant Cij and the crystal orientation of the single crystal material or the workpiece is realized through an inversion algorithm. According to the method, the elastic modulus and the crystal orientation of the single crystal material can be accurately and rapidly obtained on the premise that the crystal orientation does not need to be predicted, conditions and steps are simplified, and the testing time is shortened.

The invention relates to the technical field of data processing, in particular to a three-dimensional displacement high-precision monitoring method and system for a seismic isolation support, and the method comprises the steps: obtaining acceleration data of the seismic isolation support in different axial directions and a spectrogram of each axial direction within a preset time period; according to the amplitude distribution condition of each frequency in each axial spectrogram, screening out a seismic main frequency, and according to the amplitude proportion condition of the seismic main frequency in each axial spectrogram, obtaining a relative energy value in each axial direction; correcting the acceleration data of each axial direction according to the correlation between the acceleration data of each axial direction and the acceleration data of other axial directions in combination with the distribution condition and the relative energy value of the acceleration data of each axial direction to obtain corrected data of each axial direction; and determining the three-dimensional displacement data of the shock insulation support based on the integral result of each axial correction data. According to the invention, other interference components can be effectively inhibited, and the monitoring precision of the seismic isolation support displacement data is improved.

The invention relates to the technical field of signal processing, in particular to a pipeline guided wave signal processing method and system. The method comprises the following steps: acquiring a multi-channel ultrasonic guided wave signal through a sensor array circumferentially arranged around a pipeline, and converting the multi-channel ultrasonic guided wave signal into a frequency domain response matrix; calculating a circumferential amplitude distortion degree based on the power spectrum amplitude distribution of each channel; constructing a modal coupling matrix by combining the circumferential amplitude distortion degree and the theoretical wave number of the ideal pipeline; correcting the standard orthogonal modal matrix to generate a modal projection matrix; and decomposing the frequency domain response matrix by using the projection matrix, and separating a structure echo component and a defect signal component. According to the method, the influence of geometric defects such as ovality deviation is evaluated more accurately, energy exchange between modeling modes is accurately established, and orthogonality hypothesis is corrected; modal energy leakage is inhibited, and the decomposition accuracy is improved; signals are effectively separated, coherent noise interference is solved, and the accuracy and reliability of pipeline defect detection are improved.

The invention discloses a U-Net-based multi-mode wind energy resource monthly scale prediction correction method and system, belongs to the technical field of wind energy resource evaluation and climate numerical value prediction crossing, and is used for correcting monthly scale wind speed output by a climate mode. According to the method, a climate state wind speed field is constructed by utilizing ERA5 reanalysis, and a monthly-scale 10m wind speed anomaly is calculated to serve as a correction reference; monthly-scale historical return data of a plurality of dynamic climate modes are obtained, 10m wind speed and multilayer meteorological elements are extracted, unified interpolation and standardization are carried out, and a sample set is formed; a U-Net correction model with a coding and decoding structure is constructed based on a sample set, feature combination and hyper-parameters are optimized through cross validation, and nonlinear mapping from a multi-mode forecast field to an ERA5 distance flat field is learned. And correcting future monthly scale forecast by using the optimal model, generating a wind speed product of which space structure and amplitude distribution are closer to observation, and providing high-credibility wind energy climate information for wind power planning, power generation planning and power grid dispatching.

The disclosure relates to a method and a device for transmitting and receiving a signal by a base station or a terminal in a wireless communication system. Specifically, a method performed by a first device in a wireless communication system includes deriving an amplitude scaling factor based on a comparison between amplitude distribution of a pilot signal corresponding to a first time resource domain and the amplitude distribution of a data signal corresponding to a second time resource domain; and transmitting, to a second device, a physical channel including the pilot signal and the data signal and the amplitude scaling factor, wherein the pilot signal is transmitted with a power determined based on the amplitude scaling factor, and power compensation for the data signal is based on the amplitude scaling factor.

The application relates to the technical field of computer vision, in particular to a jujube tree disease and pest identification method and system combined with visual technology, which comprises the following steps: extracting a closed edge contour of a disease leaf gray image, and obtaining a contour skeleton of each closed edge contour; based on the graphic features of each contour skeleton, obtaining a to-be-identified region, analyzing the gradient amplitude distribution of the skeleton contour edge and the inside pixel points, the gradient amplitude distribution of the skeleton contour outside pixel points, and obtaining an edge transition value of each to-be-identified region; based on the overall distribution features of the gradient amplitude of all edge pixel points of the skeleton contour of each to-be-identified region, obtaining an edge energy value of each to-be-identified region; determining an edge distinguishing value of each to-be-identified region, and obtaining a disease identification result of each to-be-identified region. The application aims to improve the identification ability of jujube brown spot disease and jujube gray spot disease and improve the identification precision of disease detection.

The invention relates to the technical field of construction quality detection, in particular to a building construction quality automatic detection method and system.The building construction quality automatic detection method comprises the following steps that vertical projection plane coordinates of multiple components in a building fabricated structure are obtained, a horizontal edge vertex coordinate set is selected, and the geometric center of the components is obtained through calculation and averaging; and generating a component positioning center vector group according to the component number sequence connection points. According to the method, through extraction of vertical projection coordinates of the components, construction of a positioning center vector, establishment of sequence expression of the position relation between the components, judgment of the consistency of the offset difference change rate and the included angle, continuous offset trend extraction, extraction of the gravity center of the components in the section, calculation of the deviation degree of a connecting line to a theoretical axis, and reflection of the overall offset trend of the component section. And identifying the system characteristics of the error according to the offset consistency and the amplitude distribution. According to the process, the component position, direction and aggregation offset characteristics are integrated in a serialization, vectorization and gravity center weighting mode, and the capacity of trend recognition and cluster error judgment is improved.

The invention provides a component high-frequency signal transmission quality prediction and optimization method and system, and relates to the technical field of signal transmission, and the method comprises the steps: extracting the attenuation change rate of each frequency band based on the frequency domain characteristics and transmission path physical characteristic parameters of a to-be-transmitted signal of a component, and building a correlation function with a frequency band boundary position; calculating a transmission path terminal prediction loss spectrum and determining a compensation gain coefficient; performing frequency selective amplitude adjustment on the to-be-transmitted signal; and an actual received signal is collected and compared with the target frequency domain amplitude distribution, and the correlation function is updated. According to the invention, accurate prediction and adaptive optimization of high-frequency signal transmission quality are realized, and signal transmission integrity is improved.

The invention relates to the technical field of dynamic analysis and predictive control of hydraulic machinery, and discloses a method, a device, equipment and a medium for positioning a hydraulic interference source of a pumped storage power station, and the method comprises the steps: constructing a non-uniform density monitoring network of the pumped storage power station; generating a spatial frequency domain matrix of the characteristic frequency band based on the non-uniform density monitoring network, wherein the spatial frequency domain matrix comprises amplitude distribution and phase distribution; based on the phase distribution, a preset inversion algorithm is adopted to solve an interference source space positioning result; and calculating a turbulent energy contribution rate based on the interference source space positioning result and the amplitude distribution, and performing pumped storage power station vortex system energy risk assessment based on the turbulent energy contribution rate. According to the method, the three-dimensional coordinate accurate locking of the hydraulic interference source is realized, the turbulent energy contribution rate is calculated based on the interference source positioning result and the amplitude distribution, the pumped storage power station vortex system energy risk assessment is realized, and the sub-meter positioning and high-risk early warning capabilities are provided for the hydraulic vibration source of the one-pipe multi-machine system of the pumped storage power station.

A test and measurement instrument includes an input configured to receive at least a waveform of a test signal, which includes a plurality of samples. The test and measurement instrument includes a processing circuit connected with the input. The processing circuit is configured to analyze the waveform and to select at least a subset of samples out of the plurality of samples. The subset of samples matches predefined criteria concerning at least one of bandwidth, amplitude distribution, and amplitude percentiles. The test and measurement instrument is configured to generate a modified waveform based on the selected subset of samples and / or to measure only a part of a received measurement signal from a device under test, which corresponds to the selected subset of samples. Further, a test and measurement setup and a method of measuring a device under test are described.

The invention relates to the technical field of electromagnetic wave detection and imaging, and discloses a radar target echo generation method based on a physical information neural radiation field, which effectively improves the physical consistency of generated echo signals, accurately simulates the energy attenuation characteristics at different observation angles, and improves the radar target echo generation efficiency. The problem of signal completion under the sparse view angle condition is solved. The signal generated by the method is highly matched with measured data in the aspects of amplitude distribution, phase continuity and energy envelope form, a reliable data basis is provided for radar target identification and feature analysis, and the perception capability of a network on target geometric details is enhanced through high-dimensional position coding. Therefore, the generated echo signal can accurately reflect the spatial distribution characteristics of the scattering center. Meanwhile, due to the introduction of the multi-frequency coding sequence, the network can adaptively capture electromagnetic scattering characteristics under different scales, and a reliable technical means is provided for echo generation of a complex target.

The application relates to the technical field of image recognition, in particular to a precious metal quality defect detection method based on image recognition; a gray scale characteristic value of a pixel point is obtained according to the gray scale characteristics of the same pixel point in all detection images; a brightness deviation degree of the pixel point is obtained according to the difference characteristics of the gray scale characteristic values of the pixel point and multiple normal precious metals at the same position; different suspected defect regions are obtained according to the brightness deviation degrees of all the pixel points; and a defect confidence of the suspected defect region is obtained according to the distribution characteristics of the gray scale characteristic values and the gradient amplitude distribution characteristics of the pixel points in the suspected defect region. The application detects defects of the precious metal to be detected according to the defect confidence of the suspected defect region, and the accuracy of the surface defect detection of the precious metal is improved.

The invention relates to the technical field of wind power generation, in particular to a speed loss evaluation method, device and equipment for full wake flow of a wind turbine generator and a medium, and aims to solve the technical problem that the calculation result of near wake flow is inaccurate in an existing method. In order to achieve the purpose, the speed loss evaluation method for the full wake flow of the wind turbine generator comprises the steps that the incoming flow wind speed and wind direction are obtained; preset parameter information is determined based on the incoming flow wind speed and wind direction; obtaining a pre-constructed double-Gaussian wake flow model considering pressure difference correction; determining amplitude distribution and shape distribution of the double-Gaussian wake flow model based on preset parameter information; and evaluating the wake flow speed loss of the wind turbine generator based on the amplitude distribution and shape distribution of the double-Gaussian wake flow model. In this way, the defect that a traditional model is insufficient in evaluation precision in a near wake flow area is overcome through pressure difference correction.